On Tue, 8 May 2007, Victor Gravenholt wrote: > As a part of a simulation, I need to sample from a large vector repeatedly. > For some reason sample() builds up the memory usage (> 500 MB for this > example) when used inside a for loop as illustrated here: > > X <- 1:100000 > P <- runif(100000) > for(i in 1:500) Xsamp <- sample(X,30000,replace=TRUE,prob=P) > > Even worse, I am not able to free up memory without quitting R. > I quickly run out of memory when trying to perform the simulation. Is > there any way to avoid this to happen? > > The problem seem to appear only when specifying both replace=TRUE and > probability weights for the vector being sampled, and this happens both > on Windows XP and Linux (Ubuntu).
And for 10000 < size <= 100000. There was a typo causing memory not to be freed in that range. It is now fixed in 2.5.0 patched. -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
